ThinkPHP执行原生sql，实现一些复杂的业务需求

1）事情起因：写php的同事做了社区消息接口，主要返回几个方面的消息，如我的主贴的点赞、我的层帖的点赞、我的主贴的评论、我的评论的评论，

数据因为关联了5张以上的表，返回的格式不一：

如原来的thinkphp：

 //社区消息
     public function mess()
     {
         if(IS_POST){
             $da['username'] = $_POST['username'];
             $db1 = M('postmessage');
             $postid = $db1->field('postid')->order('time desc')->where($da)->select();
             $db2 = M('postlikes');
             foreach($postid as $k => $v){
                 $th['postid'] = $postid[$k]['postid'];
                 $db5 = M('postmessage');
                 $postmessage = $db5->where($th)->select();
                 $postlikes[] = $db2->order('time desc')->where($th)->select();
                 foreach($postlikes as $m=>$n){
                     foreach($n as $d=>$f){
                         foreach($postmessage as $a=>$s){
 //                            print_r($postmessage[$a]['title']);exit;
                             $n[$d]['title'] = $postmessage[$a]['title'];
                             $n[$d]['portrait'] = $postmessage[$a]['portrait'];
                             $n[$d]['sex'] = $postmessage[$a]['sex'];
                             $n[$d]['nickname'] = $postmessage[$a]['nickname'];
                         }
                         $postlikes[$m] = $n;
                     }
                 }
             }
             $db3 = M('postcomments');
             foreach($postid as $ke => $va){
                 $thi['postid'] = $postid[$ke]['postid'];
                 $comments[] = $db3->order('time desc')->where($thi)->select();
                 $db5 = M('postmessage');
                 $postmessage = $db5->where($th)->select();
                 foreach($comments as $m=>$n){
                     foreach($n as $d=>$f){
                         foreach($postmessage as $a=>$s){
 //                            print_r($postmessage[$a]['title']);exit;
                             $n[$d]['title'] = $postmessage[$a]['title'];
                             $n[$d]['portrait'] = $postmessage[$a]['portrait'];
                             $n[$d]['sex'] = $postmessage[$a]['sex'];
                             $n[$d]['nickname'] = $postmessage[$a]['nickname'];
                         }
                         $comments[$m] = $n;
                     }
                 }
             }
             $db4 = M('postdouble');
             foreach($postid as $k => $v){
                 $thu['postid'] = $postid[$k]['postid'];
                 $double = $db4->order('time desc')->where($thu)->select();
 //                print_r($double);exit;
                 /*foreach($likes as $l => $i){
                     $the['postid'] = $likes[$l]['postid'];
                     $the['floor'] = $likes[$l]['floor'];
                     $double = $db4->order('time desc')->where($the)->select();
                 }*/
             }
 //            print_r($double);exit;
             if(true){
                 $response['status'] = 'Y';
                 $response['msg'] = '成功';
                 $response['data1'] = $postlikes;
                 $response['data2'] = $comments;
                 $response['data3'] = $double;
                 echo json_encode($response);
             }else{
                 $response['status'] = 'N';
                 $response['msg'] = '失败';
                 echo json_encode($response);
             }
         }
     }

返回的数据结果：

 {
   "status": "Y",
   "msg": "成功",
   "data1": [
     [
       {
         "id": "20",
         "postid": "23",
         "username": "13760272643",
         "tag": "1",
         "uname": "",
         "floor": "0",
         "time": "1465973899",
         "title": "stupid",
         "portrait": "uploads/image/portrait/1465783454.png",
         "sex": "0",
         "nickname": "Rick "
       },
       {
         "id": "19",
         "postid": "23",
         "username": "876D276C34C51EC381D98A4959F10EA3",
         "tag": "1",
         "uname": "",
         "floor": "0",
         "time": "1465969540",
         "title": "stupid",
         "portrait": "uploads/image/portrait/1465783454.png",
         "sex": "0",
         "nickname": "Rick "
       }
     ],
     [
       {
         "id": "26",
         "postid": "24",
         "username": "13760272643",
         "tag": "1",
         "uname": "",
         "floor": "0",
         "time": "1465981250",
         "title": "stupid",
         "portrait": "uploads/image/portrait/1465783454.png",
         "sex": "0",
         "nickname": "Rick "
       },
       {
         "id": "25",
         "postid": "24",
         "username": "876D276C34C51EC381D98A4959F10EA3",
         "tag": "1",
         "uname": "",
         "floor": "0",
         "time": "1465981246",
         "title": "stupid",
         "portrait": "uploads/image/portrait/1465783454.png",
         "sex": "0",
         "nickname": "Rick "
       }
     ],
     [
       {
         "id": "27",
         "postid": "25",
         "username": "13760272643",
         "tag": "1",
         "uname": "",
         "floor": "0",
         "time": "1465987326",
         "title": "stupid",
         "portrait": "uploads/image/portrait/1465783454.png",
         "sex": "0",
         "nickname": "Rick "
       }
     ]
   ],
   "data2": [
     [
       {
         "id": "28",
         "postid": "23",
         "username": "13760272643",
         "nickname": "Rick ",
         "contents": "就看看",
         "likes": "0",
         "comments": "0",
         "time": "1465981162",
         "floor": "4",
         "title": "stupid",
         "portrait": "uploads/image/portrait/1465783454.png",
         "sex": "0"
       },
       {
         "id": "27",
         "postid": "23",
         "username": "13760272643",
         "nickname": "Rick ",
         "contents": "回家看看",
         "likes": "0",
         "comments": "0",
         "time": "1465981158",
         "floor": "3",
         "title": "stupid",
         "portrait": "uploads/image/portrait/1465783454.png",
         "sex": "0"
       },
       {
         "id": "26",
         "postid": "23",
         "username": "13760272643",
         "nickname": "Rick ",
         "contents": "很可靠快结婚",
         "likes": "0",
         "comments": "0",
         "time": "1465974612",
         "floor": "2",
         "title": "stupid",
         "portrait": "uploads/image/portrait/1465783454.png",
         "sex": "0"
       },
       {
         "id": "19",
         "postid": "23",
         "username": "876D276C34C51EC381D98A4959F10EA3",
         "nickname": "Rick ",
         "contents": "不知道为什么，突然就想评论一下！！！",
         "likes": "0",
         "comments": "0",
         "time": "1465969568",
         "floor": "1",
         "title": "stupid",
         "portrait": "uploads/image/portrait/1465783454.png",
         "sex": "0"
       }
     ],
     [
       {
         "id": "30",
         "postid": "24",
         "username": "13760272643",
         "nickname": "Rick ",
         "contents": "吃v",
         "likes": "0",
         "comments": "0",
         "time": "1465981260",
         "floor": "2",
         "title": "stupid",
         "portrait": "uploads/image/portrait/1465783454.png",
         "sex": "0"
       },
       {
         "id": "29",
         "postid": "24",
         "username": "13760272643",
         "nickname": "Rick ",
         "contents": "回家开门",
         "likes": "0",
         "comments": "0",
         "time": "1465981255",
         "floor": "1",
         "title": "stupid",
         "portrait": "uploads/image/portrait/1465783454.png",
         "sex": "0"
       }
     ],
     []
   ],
   "data3": [
     {
       "id": "6",
       "postid": "22",
       "floor": "4",
       "content": "滚滚滚",
       "time": "1465971570",
       "username": "13760272643",
       "nickname": "Joker"
     }
   ]
 }

而要实现的UI为：

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" alt="" />

这里导致的情况就是，返回的json有几个数据集（data1，data2，data3等），里面包含的数据集也字段不一样，取到之后要再次解析（Android、ios、html5都要）加工才可以用，显然不符合规范的。

2）经过讨论，决定可以采用原生sql的形式去返回数据，这里涉及到5张表：

分别为点赞记录表，主贴表，评论表，楼中楼表，还有一张用户表（menber）

经过修改如下：

 public function mess2()
     {
         $da['username'] = $_POST['username'];
         $db1 = M('postmessage');
         $Dao = M();

         $index = 0;
         $all[] = array();  //二维数组

         $postid = $db1->field('postid')->order('time desc')->where($da)->select();
         //查看主贴的点赞和评论
         foreach($postid as $k => $v) {
             $th = $postid[$k]['postid'];
             $list1 = $Dao->query("select pl.id,pl.postid,pl.username,u.enname,u.sexnew,u.portrait,pl.time,concat(u.enname,'点赞了我的帖子') as title,
 concat('赞了我的帖子：',pm.title) as content,pl.floor as floor from yne_postlikes as pl left join yne_postmessage as pm
 on pl.postid = pm.postid right join yne_member as u on u.username = pl.username where pl.postid ="."$th");
             $list2 = $Dao->query("select pc.id,pc.postid,pc.username,u.enname,u.sexnew,u.portrait,pc.time,pc.contents as title,
 concat('评论了我的帖子：',pm.title) as content,pc.floor as floor from yne_postcomments as pc left join yne_postmessage as pm on pc.postid = pm.postid
 right join yne_member as u on u.username = pc.username where pm.postid ="."$th");

                     addArray($all,$list1,&$index);
                     addArray($all,$list2,&$index);
         }

 　　　　　//查看层帖的点赞和层帖的回复（楼中楼）
         $db2 = M('postcomments');
         $id = $db2->field('id')->order('time desc')->where($da)->select();
         foreach($id as $k => $v){
             $ids = $id[$k]['id'];
             $list3 = $Dao->query("SELECT pm.id, pm.postid, pm.username, u.enname, u.sexnew, u.portrait, pl.time,
 concat( u.enname, '点赞了我的评论' ) AS title,concat( '赞了我的评论：', pm.contents ) AS content, pm.floor AS floor FROM yne_postcomments AS pm
 LEFT JOIN yne_postlikes AS pl ON pl.postid = pm.postid AND pl.floor = pm.floor RIGHT JOIN yne_member AS u ON u.username = pl.uname
 WHERE pm.id ="."$ids");
             $list4 = $Dao->query("select pm.id,pm.postid,pm.username,u.enname,u.sexnew,u.portrait,pm.time,pd.content as title,
 concat('回复了我的评论：',pm.contents) as content,pm.floor as floor from yne_postcomments as pm left join yne_postdouble as pd
 on pd.postid = pm.postid and pd.floor = pm.floor right join yne_member as u on u.username = pd.username where pm.id = "."$ids");
 //        addArray($all,$list3,&$index);
                     addArray($all,$list4,&$index);
         }
         //最后根据time进行二维数组排序
         print_r($all);exit;
     }

 //index的引用传递
 function addArray($all[] = arrray(),$list = arrray(),$index) {
         //遍历list1(list1,可能为一维，也可能是二维)
         foreach($list1 as $key =>$value) {
             if(is_array($value)) {         //二维
                     //解析每一维数组
                       $all[$index] = array(
                          'id' => $value['id'],
                          'postid' => $value['postid'],
                          'username' => $value['username'],
                          'enname' => $value['enname'],
                          'sexnew' => $value['sexnew'],
                          'portrait' => $value['portrait'],
                          'time' => $value['time'],
                          'title' => $value['title'],
                          'content' => $value['content'],
                          'floor' => $value['floor']
                       );
                          index++;

             }
         }
 }

这里，需要注意几点，每次sql取得的是一个二维数组如：

 Array
 (
     [0] => Array
         (
             [id] => 20
             [postid] => 23
             [username] => 13760272643
             [enname] => Joker
             [sexnew] => 男
             [portrait] => uploads/image/portrait/default.png
             [time] => 1465973899
             [title] => Joker点赞了我的帖子
             [content] => 赞了我的帖子：greyer
             [floor] => 0
         )

     [1] => Array
         (
             [id] => 19
             [postid] => 23
             [username] => 876D276C34C51EC381D98A4959F10EA3
             [enname] => っ 丶        LNR
             [sexnew] => 0
             [portrait] => http://qzapp.qlogo.cn/qzapp/1105262825/876D276C34C51EC381D98A4959F10EA3/100
             [time] => 1465969540
             [title] => っ 丶        LNR点赞了我的帖子
             [content] => 赞了我的帖子：greyer
             [floor] => 0
         )
 )

需要综合每次sql返回的结果，经过多次尝试，直接使用array_merge()，array_merge_recursive()，都不太理想，比较对于php使用较少。
这里换了一种思路，就是类似java上面的二维数组，根据索引去解析每次返回sql结果集的二维数据，并记录当前解析得到的一维数组的个数（index），

最后再添加到一个新的二维数组中。再将二维数组转为json返回：

 {
   "status": "Y",
   "msg": "成功",
   "data": [
     {
       "id": "27",
       "postid": "25",
       "username": "13760272643",
       "enname": "Joker",
       "sexnew": "男",
       "portrait": "uploads/image/portrait/default.png",
       "time": "1465987326",
       "title": "Joker点赞了我的帖子",
       "content": "赞了我的帖子：stupid",
       "floor": "0"
     },
     {
       "id": "30",
       "postid": "24",
       "username": "13760272643",
       "enname": "Joker",
       "sexnew": "男",
       "portrait": "uploads/image/portrait/default.png",
       "time": "1465981260",
       "title": "吃v",
       "content": "评论了我的帖子：qwertyuop ",
       "floor": "2"
     },
     {
       "id": "29",
       "postid": "24",
       "username": "13760272643",
       "enname": "Joker",
       "sexnew": "男",
       "portrait": "uploads/image/portrait/default.png",
       "time": "1465981255",
       "title": "回家开门",
       "content": "评论了我的帖子：qwertyuop ",
       "floor": "1"
     },
     {
       "id": "26",
       "postid": "24",
       "username": "13760272643",
       "enname": "Joker",
       "sexnew": "男",
       "portrait": "uploads/image/portrait/default.png",
       "time": "1465981250",
       "title": "Joker点赞了我的帖子",
       "content": "赞了我的帖子：qwertyuop ",
       "floor": "0"
     },
     {
       "id": "25",
       "postid": "24",
       "username": "876D276C34C51EC381D98A4959F10EA3",
       "enname": "っ 丶        LNR",
       "sexnew": "0",
       "portrait": "http://qzapp.qlogo.cn/qzapp/1105262825/876D276C34C51EC381D98A4959F10EA3/100",
       "time": "1465981246",
       "title": "っ 丶        LNR点赞了我的帖子",
       "content": "赞了我的帖子：qwertyuop ",
       "floor": "0"
     },
     {
       "id": "28",
       "postid": "23",
       "username": "13760272643",
       "enname": "Joker",
       "sexnew": "男",
       "portrait": "uploads/image/portrait/default.png",
       "time": "1465981162",
       "title": "就看看",
       "content": "评论了我的帖子：greyer",
       "floor": "4"
     },
     {
       "id": "27",
       "postid": "23",
       "username": "13760272643",
       "enname": "Joker",
       "sexnew": "男",
       "portrait": "uploads/image/portrait/default.png",
       "time": "1465981158",
       "title": "回家看看",
       "content": "评论了我的帖子：greyer",
       "floor": "3"
     },
     {
       "id": "25",
       "postid": "22",
       "username": "15072475892",
       "enname": "Joker",
       "sexnew": "男",
       "portrait": "uploads/image/portrait/default.png",
       "time": "1465978020",
       "title": "很健康",
       "content": "回复了我的评论：Hjvf ",
       "floor": "6"
     },
     {
       "id": "25",
       "postid": "22",
       "username": "15072475892",
       "enname": "Rick ",
       "sexnew": "0",
       "portrait": "uploads/image/portrait/1465783454.png",
       "time": "1465975417",
       "title": "Rick 点赞了我的评论",
       "content": "赞了我的评论：Hjvf ",
       "floor": "6"
     },
     {
       "id": "23",
       "postid": "22",
       "username": "15072475892",
       "enname": "Rick ",
       "sexnew": "0",
       "portrait": "uploads/image/portrait/1465783454.png",
       "time": "1465975415",
       "title": "Rick 点赞了我的评论",
       "content": "赞了我的评论：Wgyii ",
       "floor": "4"
     },
     {
       "id": "25",
       "postid": "22",
       "username": "15072475892",
       "enname": "Joker",
       "sexnew": "男",
       "portrait": "uploads/image/portrait/default.png",
       "time": "1465975057",
       "title": "Joker点赞了我的评论",
       "content": "赞了我的评论：Hjvf ",
       "floor": "6"
     },
     {
       "id": "23",
       "postid": "22",
       "username": "15072475892",
       "enname": "Joker",
       "sexnew": "男",
       "portrait": "uploads/image/portrait/default.png",
       "time": "1465975035",
       "title": "Joker点赞了我的评论",
       "content": "赞了我的评论：Wgyii ",
       "floor": "4"
     },
     {
       "id": "26",
       "postid": "23",
       "username": "13760272643",
       "enname": "Joker",
       "sexnew": "男",
       "portrait": "uploads/image/portrait/default.png",
       "time": "1465974612",
       "title": "很可靠快结婚",
       "content": "评论了我的帖子：greyer",
       "floor": "2"
     },
     {
       "id": "20",
       "postid": "23",
       "username": "13760272643",
       "enname": "Joker",
       "sexnew": "男",
       "portrait": "uploads/image/portrait/default.png",
       "time": "1465973899",
       "title": "Joker点赞了我的帖子",
       "content": "赞了我的帖子：greyer",
       "floor": "0"
     },
     {
       "id": "25",
       "postid": "22",
       "username": "15072475892",
       "enname": "Joker",
       "sexnew": "男",
       "portrait": "uploads/image/portrait/default.png",
       "time": "1465971596",
       "title": "哈哈哈",
       "content": "回复了我的评论：Hjvf ",
       "floor": "6"
     },
     {
       "id": "23",
       "postid": "22",
       "username": "15072475892",
       "enname": "Joker",
       "sexnew": "男",
       "portrait": "uploads/image/portrait/default.png",
       "time": "1465971570",
       "title": "滚滚滚",
       "content": "回复了我的评论：Wgyii ",
       "floor": "4"
     },
     {
       "id": "19",
       "postid": "23",
       "username": "876D276C34C51EC381D98A4959F10EA3",
       "enname": "っ 丶        LNR",
       "sexnew": "0",
       "portrait": "http://qzapp.qlogo.cn/qzapp/1105262825/876D276C34C51EC381D98A4959F10EA3/100",
       "time": "1465969568",
       "title": "不知道为什么，突然就想评论一下！！！",
       "content": "评论了我的帖子：greyer",
       "floor": "1"
     },
     {
       "id": "19",
       "postid": "23",
       "username": "876D276C34C51EC381D98A4959F10EA3",
       "enname": "っ 丶        LNR",
       "sexnew": "0",
       "portrait": "http://qzapp.qlogo.cn/qzapp/1105262825/876D276C34C51EC381D98A4959F10EA3/100",
       "time": "1465969540",
       "title": "っ 丶        LNR点赞了我的帖子",
       "content": "赞了我的帖子：greyer",
       "floor": "0"
     }
   ]
 }